Full cluster-to-pod visibility for container orchestration
| Level | What’s monitored | Key metrics |
|---|---|---|
| Cluster | Control plane, etcd, API server | Availability, latency, pressure |
| Nodes | Kubelet, node resources | CPU, memory, disk per node |
| Pods | Container resources, restarts | Requests vs. usage, OOM kills |
| Workloads | Deployments, StatefulSets | Replica availability, rollouts |
| Networking | Services, Ingress, DNS | Request rates, latency, errors |
Out-of-the-box capabilities
Questions answered
| With Kubernetes Monitoring, you can answer… |
|---|
| Which pods are using the most CPU in my cluster? |
| Why did this pod crash? What were the logs before the OOM kill? |
| How much is my infrastructure costing, and where can I save? |
| What will my resource usage look like next week? |
| Which namespace is consuming the most resources? |
Problems solved
| Problem | Solution |
|---|---|
| Complex manual setup | Helm chart deployment, no manual config |
| No visibility into pod resources | Complete cluster-to-container metrics |
| Hard to debug pod crashes | Correlated logs, metrics, and automated diagnostics |
| Unpredictable costs | Built-in cost views and savings recommendations |
| Capacity planning guesswork | ML-powered CPU and memory predictions |
Script
If you’re running Kubernetes, you know how complex it can get. Pods restart, nodes get scheduled, deployments roll out, and without visibility, debugging is a nightmare.
Kubernetes Monitoring is a dedicated application in Grafana Cloud that gives you complete visibility with almost no setup. You deploy using a Helm chart, and that’s basically it. No manual configuration of agents, no building dashboards from scratch.
What makes it powerful is everything that comes out of the box. You get a unified view from cluster down to individual containers. You get built-in alerts and runbooks for common issues. You get cost visibility: see exactly what your infrastructure is spending and where you can save. You even get ML-powered predictions for CPU and memory, so you can plan capacity before you run out.
The app also integrates with other Grafana Cloud tools. You can jump from a problem pod directly to Application Observability to see trace data, or launch automated diagnostics to help identify root cause. It turns Kubernetes from a black box into something you can actually understand and optimize.